

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


_UpperCamelCase     			=     logging.get_logger(__name__)

_UpperCamelCase     			=     {
    '''shi-labs/nat-mini-in1k-224''': '''https://huggingface.co/shi-labs/nat-mini-in1k-224/resolve/main/config.json''',
    # See all Nat models at https://huggingface.co/models?filter=nat
}



class        lowercase		(			__A					,							__A   ):



 '''simple docstring'''


 __SCREAMING_SNAKE_CASE   				=							'''nat'''

 __SCREAMING_SNAKE_CASE   				=							{
     '''num_attention_heads''': '''num_heads''',
     '''num_hidden_layers''': '''num_layers''',
 }




 def __init__(self			,			__a=4			,			__a=3			,			__a=64			,			__a=[3, 4, 6, 5]			,			__a=[2, 4, 8, 16]			,			__a=7			,			__a=3.0			,			__a=True			,			__a=0.0			,			__a=0.0			,			__a=0.1			,			__a="gelu"			,			__a=0.02			,			__a=1E-5			,			__a=0.0			,			__a=None			,			__a=None			,			**__a			,			)					->   str:






  """simple docstring"""





  super().__init__(**UpperCamelCase__					)

  UpperCAmelCase__     							=							patch_size
  UpperCAmelCase__     							=							num_channels
  UpperCAmelCase__     							=							embed_dim
  UpperCAmelCase__     							=							depths
  UpperCAmelCase__     							=							len(UpperCamelCase__					)
  UpperCAmelCase__     							=							num_heads
  UpperCAmelCase__     							=							kernel_size
  UpperCAmelCase__     							=							mlp_ratio
  UpperCAmelCase__     							=							qkv_bias
  UpperCAmelCase__     							=							hidden_dropout_prob
  UpperCAmelCase__     							=							attention_probs_dropout_prob
  UpperCAmelCase__     							=							drop_path_rate
  UpperCAmelCase__     							=							hidden_act
  UpperCAmelCase__     							=							layer_norm_eps
  UpperCAmelCase__     							=							initializer_range
  # we set the hidden_size attribute in order to make Nat work with VisionEncoderDecoderModel
  # this indicates the channel dimension after the last stage of the model
  UpperCAmelCase__     							=							int(embed_dim * 2 ** (len(UpperCamelCase__					) - 1)					)
  UpperCAmelCase__     							=							layer_scale_init_value
  UpperCAmelCase__     							=							['stem'] + [F"stage{idx}" for idx in range(1			,			len(UpperCamelCase__					) + 1					)]
  UpperCAmelCase__							,       UpperCAmelCase__     							=							get_aligned_output_features_output_indices(
      out_features=UpperCamelCase__			,			out_indices=UpperCamelCase__			,			stage_names=self.stage_names					)











'''simple docstring'''







from __future__ import annotations

from collections.abc import Iterator
from typing import Generic, TypeVar

__lowerCAmelCase        =							TypeVar("T")




class   __SCREAMING_SNAKE_CASE       (Generic[T]       ):


  """simple docstring"""


  def __init__(			self   ,	UpperCamelCase__	):






         """simple docstring"""


         a_						     =			data
         a_						     =			None







  def __str__(			self	):






         """simple docstring"""


         return f'{self.data}'





class   __SCREAMING_SNAKE_CASE       (Generic[T]       ):


  """simple docstring"""


  def __init__(			self	):






         """simple docstring"""


         a_						     =			None







  def __iter__(			self	):






         """simple docstring"""


         a_						     =			self.top
         while node:
                yield node.data
                a_						     =			node.next







  def __str__(			self	):






         """simple docstring"""


         return "->".join([str(UpperCamelCase__	) for item in self]	)







  def __len__(			self	):






         """simple docstring"""


         return len(tuple(iter(self	)	)	)







  def    _a       (			self	):






         """simple docstring"""


         return self.top is None







  def    _a       (			self   ,	UpperCamelCase__	):






         """simple docstring"""


         a_						     =			Node(UpperCamelCase__	)
         if not self.is_empty():
                a_						     =			self.top
         a_						     =			node







  def    _a       (			self	):






         """simple docstring"""


         if self.is_empty():
                raise IndexError('pop from empty stack'	)
         assert isinstance(self.top   ,	UpperCamelCase__	)
         a_						     =			self.top
         a_						     =			self.top.next
         return pop_node.data







  def    _a       (			self	):






         """simple docstring"""


         if self.is_empty():
                raise IndexError('peek from empty stack'	)

         assert self.top is not None
         return self.top.data







  def    _a       (			self	):






         """simple docstring"""


         a_						     =			None


if __name__ == "__main__":
  from doctest import testmod

  testmod()




